Trends in student behavior in online courses

Rianne Conijn, Menno van Zaanen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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    Learning management systems provide an easy and effective means of access to learning materials. Students’ access to course material is logged and the amount of interaction is assumed to be a measure of student engagement within the course. In previous research, typically frequencies of student activities have been used, but this disregards any temporal information. Here, we analyze the amount of student activity over time during courses. Based on activity data over 11 online courses, we cluster students who show similar behavior over time. This results in three different groups: a large group of students who are mostly inactive; another group of students who are very active throughout the course; and a group of students who start out being active, but their activity diminishes throughout the course. These groups of students show different performance. Overall, more active students yield better results. In addition to these general trends, we identified courses in which alternative trends can be found, such as a group of students who become more active during the course. This shows that student behavior is more complex than can be identified from an individual course and more research into patterns of learning activities in multiple courses is essential.
    Original languageEnglish
    Title of host publicationProceedings of the 3rd International Conference on Higher Education Advances
    Number of pages8
    Publication statusPublished - Jun 2017
    Event3rd International Conference on Higher Education Advances - Universitat Politecnica de Valencia, Valencia, Spain
    Duration: 21 Jun 201723 Jun 2017
    Conference number: 3


    Conference3rd International Conference on Higher Education Advances
    Abbreviated titleHEAd'17
    Internet address


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